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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Dec 2007 07:13:21 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/18/t11979861954nrfmt55i03coi6.htm/, Retrieved Sat, 04 May 2024 16:24:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4527, Retrieved Sat, 04 May 2024 16:24:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorrelatie d1...] [2007-12-15 13:29:35] [ac43070f252ecb0e957ff7a950840d09]
-   PD    [(Partial) Autocorrelation Function] [Ruwe aardolie cor...] [2007-12-18 14:13:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
68,4
70,6
83,9
90,1
90,6
87,1
90,8
94,1
99,8
96,8
87
96,3
107,1
115,2
106,1
89,5
91,3
97,6
100,7
104,6
94,7
101,8
102,5
105,3
110,3
109,8
117,3
118,8
131,3
125,9
133,1
147
145,8
164,4
149,8
137,7
151,7
156,8
180
180,4
170,4
191,6
199,5
218,2
217,5
205
194
199,3
219,3
211,1
215,2
240,2
242,2
240,7
255,4
253
218,2
203,7
205,6
215,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4527&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4527&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4527&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9393387.27610
20.8791556.80990
30.8406266.51150
40.8096776.27170
50.7730315.98790
60.7158115.54460
70.6631675.13692e-06
80.6152024.76536e-06
90.5784284.48051.7e-05
100.5443474.21654.2e-05
110.4868223.77090.000187
120.4308473.33730.000728
130.3883513.00820.001919
140.3595162.78480.003578
150.3206832.4840.007901
160.2565041.98690.025754
170.1954321.51380.067663
180.142131.10090.137661
190.098890.7660.22334
200.0629370.48750.313838
210.0066350.05140.479592
22-0.045122-0.34950.636035
23-0.091502-0.70880.759395
24-0.128479-0.99520.838181
25-0.159358-1.23440.889064
26-0.202509-1.56860.939003
27-0.246802-1.91170.969655
28-0.282863-2.1910.983828
29-0.306373-2.37320.989571
30-0.330568-2.56060.993508
31-0.354871-2.74880.996055
32-0.376843-2.9190.997531
33-0.39144-3.03210.998208
34-0.389824-3.01960.998143
35-0.393168-3.04550.998276
36-0.408596-3.1650.998782
37-0.417572-3.23450.999008
38-0.422456-3.27230.999114
39-0.413163-3.20030.998902
40-0.400793-3.10450.998546
41-0.401618-3.11090.998573
42-0.395318-3.06210.998356
43-0.387358-3.00050.998039
44-0.366796-2.84120.996935
45-0.340771-2.63960.994719
46-0.327282-2.53510.993067
47-0.326138-2.52630.992907
48-0.320882-2.48550.99213
49-0.303054-2.34740.98889
50-0.28328-2.19430.983951
51-0.267116-2.06910.978572
52-0.244528-1.89410.968483
53-0.219679-1.70160.952999
54-0.192344-1.48990.929254
55-0.153909-1.19220.881057
56-0.116513-0.90250.814801
57-0.091541-0.70910.759488
58-0.069507-0.53840.703853
59-0.037592-0.29120.614045

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.939338 & 7.2761 & 0 \tabularnewline
2 & 0.879155 & 6.8099 & 0 \tabularnewline
3 & 0.840626 & 6.5115 & 0 \tabularnewline
4 & 0.809677 & 6.2717 & 0 \tabularnewline
5 & 0.773031 & 5.9879 & 0 \tabularnewline
6 & 0.715811 & 5.5446 & 0 \tabularnewline
7 & 0.663167 & 5.1369 & 2e-06 \tabularnewline
8 & 0.615202 & 4.7653 & 6e-06 \tabularnewline
9 & 0.578428 & 4.4805 & 1.7e-05 \tabularnewline
10 & 0.544347 & 4.2165 & 4.2e-05 \tabularnewline
11 & 0.486822 & 3.7709 & 0.000187 \tabularnewline
12 & 0.430847 & 3.3373 & 0.000728 \tabularnewline
13 & 0.388351 & 3.0082 & 0.001919 \tabularnewline
14 & 0.359516 & 2.7848 & 0.003578 \tabularnewline
15 & 0.320683 & 2.484 & 0.007901 \tabularnewline
16 & 0.256504 & 1.9869 & 0.025754 \tabularnewline
17 & 0.195432 & 1.5138 & 0.067663 \tabularnewline
18 & 0.14213 & 1.1009 & 0.137661 \tabularnewline
19 & 0.09889 & 0.766 & 0.22334 \tabularnewline
20 & 0.062937 & 0.4875 & 0.313838 \tabularnewline
21 & 0.006635 & 0.0514 & 0.479592 \tabularnewline
22 & -0.045122 & -0.3495 & 0.636035 \tabularnewline
23 & -0.091502 & -0.7088 & 0.759395 \tabularnewline
24 & -0.128479 & -0.9952 & 0.838181 \tabularnewline
25 & -0.159358 & -1.2344 & 0.889064 \tabularnewline
26 & -0.202509 & -1.5686 & 0.939003 \tabularnewline
27 & -0.246802 & -1.9117 & 0.969655 \tabularnewline
28 & -0.282863 & -2.191 & 0.983828 \tabularnewline
29 & -0.306373 & -2.3732 & 0.989571 \tabularnewline
30 & -0.330568 & -2.5606 & 0.993508 \tabularnewline
31 & -0.354871 & -2.7488 & 0.996055 \tabularnewline
32 & -0.376843 & -2.919 & 0.997531 \tabularnewline
33 & -0.39144 & -3.0321 & 0.998208 \tabularnewline
34 & -0.389824 & -3.0196 & 0.998143 \tabularnewline
35 & -0.393168 & -3.0455 & 0.998276 \tabularnewline
36 & -0.408596 & -3.165 & 0.998782 \tabularnewline
37 & -0.417572 & -3.2345 & 0.999008 \tabularnewline
38 & -0.422456 & -3.2723 & 0.999114 \tabularnewline
39 & -0.413163 & -3.2003 & 0.998902 \tabularnewline
40 & -0.400793 & -3.1045 & 0.998546 \tabularnewline
41 & -0.401618 & -3.1109 & 0.998573 \tabularnewline
42 & -0.395318 & -3.0621 & 0.998356 \tabularnewline
43 & -0.387358 & -3.0005 & 0.998039 \tabularnewline
44 & -0.366796 & -2.8412 & 0.996935 \tabularnewline
45 & -0.340771 & -2.6396 & 0.994719 \tabularnewline
46 & -0.327282 & -2.5351 & 0.993067 \tabularnewline
47 & -0.326138 & -2.5263 & 0.992907 \tabularnewline
48 & -0.320882 & -2.4855 & 0.99213 \tabularnewline
49 & -0.303054 & -2.3474 & 0.98889 \tabularnewline
50 & -0.28328 & -2.1943 & 0.983951 \tabularnewline
51 & -0.267116 & -2.0691 & 0.978572 \tabularnewline
52 & -0.244528 & -1.8941 & 0.968483 \tabularnewline
53 & -0.219679 & -1.7016 & 0.952999 \tabularnewline
54 & -0.192344 & -1.4899 & 0.929254 \tabularnewline
55 & -0.153909 & -1.1922 & 0.881057 \tabularnewline
56 & -0.116513 & -0.9025 & 0.814801 \tabularnewline
57 & -0.091541 & -0.7091 & 0.759488 \tabularnewline
58 & -0.069507 & -0.5384 & 0.703853 \tabularnewline
59 & -0.037592 & -0.2912 & 0.614045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4527&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.939338[/C][C]7.2761[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.879155[/C][C]6.8099[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.840626[/C][C]6.5115[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.809677[/C][C]6.2717[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.773031[/C][C]5.9879[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.715811[/C][C]5.5446[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.663167[/C][C]5.1369[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]0.615202[/C][C]4.7653[/C][C]6e-06[/C][/ROW]
[ROW][C]9[/C][C]0.578428[/C][C]4.4805[/C][C]1.7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.544347[/C][C]4.2165[/C][C]4.2e-05[/C][/ROW]
[ROW][C]11[/C][C]0.486822[/C][C]3.7709[/C][C]0.000187[/C][/ROW]
[ROW][C]12[/C][C]0.430847[/C][C]3.3373[/C][C]0.000728[/C][/ROW]
[ROW][C]13[/C][C]0.388351[/C][C]3.0082[/C][C]0.001919[/C][/ROW]
[ROW][C]14[/C][C]0.359516[/C][C]2.7848[/C][C]0.003578[/C][/ROW]
[ROW][C]15[/C][C]0.320683[/C][C]2.484[/C][C]0.007901[/C][/ROW]
[ROW][C]16[/C][C]0.256504[/C][C]1.9869[/C][C]0.025754[/C][/ROW]
[ROW][C]17[/C][C]0.195432[/C][C]1.5138[/C][C]0.067663[/C][/ROW]
[ROW][C]18[/C][C]0.14213[/C][C]1.1009[/C][C]0.137661[/C][/ROW]
[ROW][C]19[/C][C]0.09889[/C][C]0.766[/C][C]0.22334[/C][/ROW]
[ROW][C]20[/C][C]0.062937[/C][C]0.4875[/C][C]0.313838[/C][/ROW]
[ROW][C]21[/C][C]0.006635[/C][C]0.0514[/C][C]0.479592[/C][/ROW]
[ROW][C]22[/C][C]-0.045122[/C][C]-0.3495[/C][C]0.636035[/C][/ROW]
[ROW][C]23[/C][C]-0.091502[/C][C]-0.7088[/C][C]0.759395[/C][/ROW]
[ROW][C]24[/C][C]-0.128479[/C][C]-0.9952[/C][C]0.838181[/C][/ROW]
[ROW][C]25[/C][C]-0.159358[/C][C]-1.2344[/C][C]0.889064[/C][/ROW]
[ROW][C]26[/C][C]-0.202509[/C][C]-1.5686[/C][C]0.939003[/C][/ROW]
[ROW][C]27[/C][C]-0.246802[/C][C]-1.9117[/C][C]0.969655[/C][/ROW]
[ROW][C]28[/C][C]-0.282863[/C][C]-2.191[/C][C]0.983828[/C][/ROW]
[ROW][C]29[/C][C]-0.306373[/C][C]-2.3732[/C][C]0.989571[/C][/ROW]
[ROW][C]30[/C][C]-0.330568[/C][C]-2.5606[/C][C]0.993508[/C][/ROW]
[ROW][C]31[/C][C]-0.354871[/C][C]-2.7488[/C][C]0.996055[/C][/ROW]
[ROW][C]32[/C][C]-0.376843[/C][C]-2.919[/C][C]0.997531[/C][/ROW]
[ROW][C]33[/C][C]-0.39144[/C][C]-3.0321[/C][C]0.998208[/C][/ROW]
[ROW][C]34[/C][C]-0.389824[/C][C]-3.0196[/C][C]0.998143[/C][/ROW]
[ROW][C]35[/C][C]-0.393168[/C][C]-3.0455[/C][C]0.998276[/C][/ROW]
[ROW][C]36[/C][C]-0.408596[/C][C]-3.165[/C][C]0.998782[/C][/ROW]
[ROW][C]37[/C][C]-0.417572[/C][C]-3.2345[/C][C]0.999008[/C][/ROW]
[ROW][C]38[/C][C]-0.422456[/C][C]-3.2723[/C][C]0.999114[/C][/ROW]
[ROW][C]39[/C][C]-0.413163[/C][C]-3.2003[/C][C]0.998902[/C][/ROW]
[ROW][C]40[/C][C]-0.400793[/C][C]-3.1045[/C][C]0.998546[/C][/ROW]
[ROW][C]41[/C][C]-0.401618[/C][C]-3.1109[/C][C]0.998573[/C][/ROW]
[ROW][C]42[/C][C]-0.395318[/C][C]-3.0621[/C][C]0.998356[/C][/ROW]
[ROW][C]43[/C][C]-0.387358[/C][C]-3.0005[/C][C]0.998039[/C][/ROW]
[ROW][C]44[/C][C]-0.366796[/C][C]-2.8412[/C][C]0.996935[/C][/ROW]
[ROW][C]45[/C][C]-0.340771[/C][C]-2.6396[/C][C]0.994719[/C][/ROW]
[ROW][C]46[/C][C]-0.327282[/C][C]-2.5351[/C][C]0.993067[/C][/ROW]
[ROW][C]47[/C][C]-0.326138[/C][C]-2.5263[/C][C]0.992907[/C][/ROW]
[ROW][C]48[/C][C]-0.320882[/C][C]-2.4855[/C][C]0.99213[/C][/ROW]
[ROW][C]49[/C][C]-0.303054[/C][C]-2.3474[/C][C]0.98889[/C][/ROW]
[ROW][C]50[/C][C]-0.28328[/C][C]-2.1943[/C][C]0.983951[/C][/ROW]
[ROW][C]51[/C][C]-0.267116[/C][C]-2.0691[/C][C]0.978572[/C][/ROW]
[ROW][C]52[/C][C]-0.244528[/C][C]-1.8941[/C][C]0.968483[/C][/ROW]
[ROW][C]53[/C][C]-0.219679[/C][C]-1.7016[/C][C]0.952999[/C][/ROW]
[ROW][C]54[/C][C]-0.192344[/C][C]-1.4899[/C][C]0.929254[/C][/ROW]
[ROW][C]55[/C][C]-0.153909[/C][C]-1.1922[/C][C]0.881057[/C][/ROW]
[ROW][C]56[/C][C]-0.116513[/C][C]-0.9025[/C][C]0.814801[/C][/ROW]
[ROW][C]57[/C][C]-0.091541[/C][C]-0.7091[/C][C]0.759488[/C][/ROW]
[ROW][C]58[/C][C]-0.069507[/C][C]-0.5384[/C][C]0.703853[/C][/ROW]
[ROW][C]59[/C][C]-0.037592[/C][C]-0.2912[/C][C]0.614045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4527&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4527&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9393387.27610
20.8791556.80990
30.8406266.51150
40.8096776.27170
50.7730315.98790
60.7158115.54460
70.6631675.13692e-06
80.6152024.76536e-06
90.5784284.48051.7e-05
100.5443474.21654.2e-05
110.4868223.77090.000187
120.4308473.33730.000728
130.3883513.00820.001919
140.3595162.78480.003578
150.3206832.4840.007901
160.2565041.98690.025754
170.1954321.51380.067663
180.142131.10090.137661
190.098890.7660.22334
200.0629370.48750.313838
210.0066350.05140.479592
22-0.045122-0.34950.636035
23-0.091502-0.70880.759395
24-0.128479-0.99520.838181
25-0.159358-1.23440.889064
26-0.202509-1.56860.939003
27-0.246802-1.91170.969655
28-0.282863-2.1910.983828
29-0.306373-2.37320.989571
30-0.330568-2.56060.993508
31-0.354871-2.74880.996055
32-0.376843-2.9190.997531
33-0.39144-3.03210.998208
34-0.389824-3.01960.998143
35-0.393168-3.04550.998276
36-0.408596-3.1650.998782
37-0.417572-3.23450.999008
38-0.422456-3.27230.999114
39-0.413163-3.20030.998902
40-0.400793-3.10450.998546
41-0.401618-3.11090.998573
42-0.395318-3.06210.998356
43-0.387358-3.00050.998039
44-0.366796-2.84120.996935
45-0.340771-2.63960.994719
46-0.327282-2.53510.993067
47-0.326138-2.52630.992907
48-0.320882-2.48550.99213
49-0.303054-2.34740.98889
50-0.28328-2.19430.983951
51-0.267116-2.06910.978572
52-0.244528-1.89410.968483
53-0.219679-1.70160.952999
54-0.192344-1.48990.929254
55-0.153909-1.19220.881057
56-0.116513-0.90250.814801
57-0.091541-0.70910.759488
58-0.069507-0.53840.703853
59-0.037592-0.29120.614045







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9393387.27610
1-0.027207-0.21070.5831
20.152191.17890.121554
30.0447910.3470.36492
4-0.034961-0.27080.606267
5-0.177905-1.3780.913346
6-0.001875-0.01450.505769
7-0.049902-0.38650.649768
80.064980.50330.308287
90.0173120.13410.446888
10-0.176003-1.36330.911061
11-0.017996-0.13940.555198
120.0235660.18250.427887
130.0568620.44050.330596
14-0.080516-0.62370.732396
15-0.174102-1.34860.908731
16-0.054277-0.42040.662163
17-0.059592-0.46160.676981
18-0.001576-0.01220.50485
190.0652230.50520.30763
20-0.12682-0.98230.835062
210.0130150.10080.460016
22-0.071216-0.55160.708377
23-0.028352-0.21960.586541
240.0311820.24150.404982
25-0.039768-0.3080.620443
26-0.068868-0.53340.702153
27-0.01774-0.13740.554419
28-0.004626-0.03580.514231
29-0.039433-0.30540.619458
300.088040.6820.248945
31-0.017234-0.13350.552875
320.026640.20630.418608
330.0581550.45050.326998
34-0.080701-0.62510.732865
35-0.063287-0.49020.687115
360.0348660.27010.394016
37-0.043666-0.33820.631817
380.0622720.48240.315655
390.0195930.15180.439941
40-0.072682-0.5630.71223
410.063390.4910.312604
42-0.043862-0.33980.632385
430.0473430.36670.357561
440.0556480.43110.333988
45-0.072851-0.56430.712675
46-0.150425-1.16520.875723
47-0.030153-0.23360.591941
48-0.038-0.29430.615246
490.0658440.510.305951
500.0515860.39960.345442
510.0887210.68720.247294
520.0136080.10540.458202
53-0.081146-0.62860.733987
540.1190970.92250.179975
550.0625590.48460.31487
56-0.083583-0.64740.740088
570.0126430.09790.461157
58-0.043609-0.33780.63165
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.939338 & 7.2761 & 0 \tabularnewline
1 & -0.027207 & -0.2107 & 0.5831 \tabularnewline
2 & 0.15219 & 1.1789 & 0.121554 \tabularnewline
3 & 0.044791 & 0.347 & 0.36492 \tabularnewline
4 & -0.034961 & -0.2708 & 0.606267 \tabularnewline
5 & -0.177905 & -1.378 & 0.913346 \tabularnewline
6 & -0.001875 & -0.0145 & 0.505769 \tabularnewline
7 & -0.049902 & -0.3865 & 0.649768 \tabularnewline
8 & 0.06498 & 0.5033 & 0.308287 \tabularnewline
9 & 0.017312 & 0.1341 & 0.446888 \tabularnewline
10 & -0.176003 & -1.3633 & 0.911061 \tabularnewline
11 & -0.017996 & -0.1394 & 0.555198 \tabularnewline
12 & 0.023566 & 0.1825 & 0.427887 \tabularnewline
13 & 0.056862 & 0.4405 & 0.330596 \tabularnewline
14 & -0.080516 & -0.6237 & 0.732396 \tabularnewline
15 & -0.174102 & -1.3486 & 0.908731 \tabularnewline
16 & -0.054277 & -0.4204 & 0.662163 \tabularnewline
17 & -0.059592 & -0.4616 & 0.676981 \tabularnewline
18 & -0.001576 & -0.0122 & 0.50485 \tabularnewline
19 & 0.065223 & 0.5052 & 0.30763 \tabularnewline
20 & -0.12682 & -0.9823 & 0.835062 \tabularnewline
21 & 0.013015 & 0.1008 & 0.460016 \tabularnewline
22 & -0.071216 & -0.5516 & 0.708377 \tabularnewline
23 & -0.028352 & -0.2196 & 0.586541 \tabularnewline
24 & 0.031182 & 0.2415 & 0.404982 \tabularnewline
25 & -0.039768 & -0.308 & 0.620443 \tabularnewline
26 & -0.068868 & -0.5334 & 0.702153 \tabularnewline
27 & -0.01774 & -0.1374 & 0.554419 \tabularnewline
28 & -0.004626 & -0.0358 & 0.514231 \tabularnewline
29 & -0.039433 & -0.3054 & 0.619458 \tabularnewline
30 & 0.08804 & 0.682 & 0.248945 \tabularnewline
31 & -0.017234 & -0.1335 & 0.552875 \tabularnewline
32 & 0.02664 & 0.2063 & 0.418608 \tabularnewline
33 & 0.058155 & 0.4505 & 0.326998 \tabularnewline
34 & -0.080701 & -0.6251 & 0.732865 \tabularnewline
35 & -0.063287 & -0.4902 & 0.687115 \tabularnewline
36 & 0.034866 & 0.2701 & 0.394016 \tabularnewline
37 & -0.043666 & -0.3382 & 0.631817 \tabularnewline
38 & 0.062272 & 0.4824 & 0.315655 \tabularnewline
39 & 0.019593 & 0.1518 & 0.439941 \tabularnewline
40 & -0.072682 & -0.563 & 0.71223 \tabularnewline
41 & 0.06339 & 0.491 & 0.312604 \tabularnewline
42 & -0.043862 & -0.3398 & 0.632385 \tabularnewline
43 & 0.047343 & 0.3667 & 0.357561 \tabularnewline
44 & 0.055648 & 0.4311 & 0.333988 \tabularnewline
45 & -0.072851 & -0.5643 & 0.712675 \tabularnewline
46 & -0.150425 & -1.1652 & 0.875723 \tabularnewline
47 & -0.030153 & -0.2336 & 0.591941 \tabularnewline
48 & -0.038 & -0.2943 & 0.615246 \tabularnewline
49 & 0.065844 & 0.51 & 0.305951 \tabularnewline
50 & 0.051586 & 0.3996 & 0.345442 \tabularnewline
51 & 0.088721 & 0.6872 & 0.247294 \tabularnewline
52 & 0.013608 & 0.1054 & 0.458202 \tabularnewline
53 & -0.081146 & -0.6286 & 0.733987 \tabularnewline
54 & 0.119097 & 0.9225 & 0.179975 \tabularnewline
55 & 0.062559 & 0.4846 & 0.31487 \tabularnewline
56 & -0.083583 & -0.6474 & 0.740088 \tabularnewline
57 & 0.012643 & 0.0979 & 0.461157 \tabularnewline
58 & -0.043609 & -0.3378 & 0.63165 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4527&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]0.939338[/C][C]7.2761[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.027207[/C][C]-0.2107[/C][C]0.5831[/C][/ROW]
[ROW][C]2[/C][C]0.15219[/C][C]1.1789[/C][C]0.121554[/C][/ROW]
[ROW][C]3[/C][C]0.044791[/C][C]0.347[/C][C]0.36492[/C][/ROW]
[ROW][C]4[/C][C]-0.034961[/C][C]-0.2708[/C][C]0.606267[/C][/ROW]
[ROW][C]5[/C][C]-0.177905[/C][C]-1.378[/C][C]0.913346[/C][/ROW]
[ROW][C]6[/C][C]-0.001875[/C][C]-0.0145[/C][C]0.505769[/C][/ROW]
[ROW][C]7[/C][C]-0.049902[/C][C]-0.3865[/C][C]0.649768[/C][/ROW]
[ROW][C]8[/C][C]0.06498[/C][C]0.5033[/C][C]0.308287[/C][/ROW]
[ROW][C]9[/C][C]0.017312[/C][C]0.1341[/C][C]0.446888[/C][/ROW]
[ROW][C]10[/C][C]-0.176003[/C][C]-1.3633[/C][C]0.911061[/C][/ROW]
[ROW][C]11[/C][C]-0.017996[/C][C]-0.1394[/C][C]0.555198[/C][/ROW]
[ROW][C]12[/C][C]0.023566[/C][C]0.1825[/C][C]0.427887[/C][/ROW]
[ROW][C]13[/C][C]0.056862[/C][C]0.4405[/C][C]0.330596[/C][/ROW]
[ROW][C]14[/C][C]-0.080516[/C][C]-0.6237[/C][C]0.732396[/C][/ROW]
[ROW][C]15[/C][C]-0.174102[/C][C]-1.3486[/C][C]0.908731[/C][/ROW]
[ROW][C]16[/C][C]-0.054277[/C][C]-0.4204[/C][C]0.662163[/C][/ROW]
[ROW][C]17[/C][C]-0.059592[/C][C]-0.4616[/C][C]0.676981[/C][/ROW]
[ROW][C]18[/C][C]-0.001576[/C][C]-0.0122[/C][C]0.50485[/C][/ROW]
[ROW][C]19[/C][C]0.065223[/C][C]0.5052[/C][C]0.30763[/C][/ROW]
[ROW][C]20[/C][C]-0.12682[/C][C]-0.9823[/C][C]0.835062[/C][/ROW]
[ROW][C]21[/C][C]0.013015[/C][C]0.1008[/C][C]0.460016[/C][/ROW]
[ROW][C]22[/C][C]-0.071216[/C][C]-0.5516[/C][C]0.708377[/C][/ROW]
[ROW][C]23[/C][C]-0.028352[/C][C]-0.2196[/C][C]0.586541[/C][/ROW]
[ROW][C]24[/C][C]0.031182[/C][C]0.2415[/C][C]0.404982[/C][/ROW]
[ROW][C]25[/C][C]-0.039768[/C][C]-0.308[/C][C]0.620443[/C][/ROW]
[ROW][C]26[/C][C]-0.068868[/C][C]-0.5334[/C][C]0.702153[/C][/ROW]
[ROW][C]27[/C][C]-0.01774[/C][C]-0.1374[/C][C]0.554419[/C][/ROW]
[ROW][C]28[/C][C]-0.004626[/C][C]-0.0358[/C][C]0.514231[/C][/ROW]
[ROW][C]29[/C][C]-0.039433[/C][C]-0.3054[/C][C]0.619458[/C][/ROW]
[ROW][C]30[/C][C]0.08804[/C][C]0.682[/C][C]0.248945[/C][/ROW]
[ROW][C]31[/C][C]-0.017234[/C][C]-0.1335[/C][C]0.552875[/C][/ROW]
[ROW][C]32[/C][C]0.02664[/C][C]0.2063[/C][C]0.418608[/C][/ROW]
[ROW][C]33[/C][C]0.058155[/C][C]0.4505[/C][C]0.326998[/C][/ROW]
[ROW][C]34[/C][C]-0.080701[/C][C]-0.6251[/C][C]0.732865[/C][/ROW]
[ROW][C]35[/C][C]-0.063287[/C][C]-0.4902[/C][C]0.687115[/C][/ROW]
[ROW][C]36[/C][C]0.034866[/C][C]0.2701[/C][C]0.394016[/C][/ROW]
[ROW][C]37[/C][C]-0.043666[/C][C]-0.3382[/C][C]0.631817[/C][/ROW]
[ROW][C]38[/C][C]0.062272[/C][C]0.4824[/C][C]0.315655[/C][/ROW]
[ROW][C]39[/C][C]0.019593[/C][C]0.1518[/C][C]0.439941[/C][/ROW]
[ROW][C]40[/C][C]-0.072682[/C][C]-0.563[/C][C]0.71223[/C][/ROW]
[ROW][C]41[/C][C]0.06339[/C][C]0.491[/C][C]0.312604[/C][/ROW]
[ROW][C]42[/C][C]-0.043862[/C][C]-0.3398[/C][C]0.632385[/C][/ROW]
[ROW][C]43[/C][C]0.047343[/C][C]0.3667[/C][C]0.357561[/C][/ROW]
[ROW][C]44[/C][C]0.055648[/C][C]0.4311[/C][C]0.333988[/C][/ROW]
[ROW][C]45[/C][C]-0.072851[/C][C]-0.5643[/C][C]0.712675[/C][/ROW]
[ROW][C]46[/C][C]-0.150425[/C][C]-1.1652[/C][C]0.875723[/C][/ROW]
[ROW][C]47[/C][C]-0.030153[/C][C]-0.2336[/C][C]0.591941[/C][/ROW]
[ROW][C]48[/C][C]-0.038[/C][C]-0.2943[/C][C]0.615246[/C][/ROW]
[ROW][C]49[/C][C]0.065844[/C][C]0.51[/C][C]0.305951[/C][/ROW]
[ROW][C]50[/C][C]0.051586[/C][C]0.3996[/C][C]0.345442[/C][/ROW]
[ROW][C]51[/C][C]0.088721[/C][C]0.6872[/C][C]0.247294[/C][/ROW]
[ROW][C]52[/C][C]0.013608[/C][C]0.1054[/C][C]0.458202[/C][/ROW]
[ROW][C]53[/C][C]-0.081146[/C][C]-0.6286[/C][C]0.733987[/C][/ROW]
[ROW][C]54[/C][C]0.119097[/C][C]0.9225[/C][C]0.179975[/C][/ROW]
[ROW][C]55[/C][C]0.062559[/C][C]0.4846[/C][C]0.31487[/C][/ROW]
[ROW][C]56[/C][C]-0.083583[/C][C]-0.6474[/C][C]0.740088[/C][/ROW]
[ROW][C]57[/C][C]0.012643[/C][C]0.0979[/C][C]0.461157[/C][/ROW]
[ROW][C]58[/C][C]-0.043609[/C][C]-0.3378[/C][C]0.63165[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4527&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4527&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9393387.27610
1-0.027207-0.21070.5831
20.152191.17890.121554
30.0447910.3470.36492
4-0.034961-0.27080.606267
5-0.177905-1.3780.913346
6-0.001875-0.01450.505769
7-0.049902-0.38650.649768
80.064980.50330.308287
90.0173120.13410.446888
10-0.176003-1.36330.911061
11-0.017996-0.13940.555198
120.0235660.18250.427887
130.0568620.44050.330596
14-0.080516-0.62370.732396
15-0.174102-1.34860.908731
16-0.054277-0.42040.662163
17-0.059592-0.46160.676981
18-0.001576-0.01220.50485
190.0652230.50520.30763
20-0.12682-0.98230.835062
210.0130150.10080.460016
22-0.071216-0.55160.708377
23-0.028352-0.21960.586541
240.0311820.24150.404982
25-0.039768-0.3080.620443
26-0.068868-0.53340.702153
27-0.01774-0.13740.554419
28-0.004626-0.03580.514231
29-0.039433-0.30540.619458
300.088040.6820.248945
31-0.017234-0.13350.552875
320.026640.20630.418608
330.0581550.45050.326998
34-0.080701-0.62510.732865
35-0.063287-0.49020.687115
360.0348660.27010.394016
37-0.043666-0.33820.631817
380.0622720.48240.315655
390.0195930.15180.439941
40-0.072682-0.5630.71223
410.063390.4910.312604
42-0.043862-0.33980.632385
430.0473430.36670.357561
440.0556480.43110.333988
45-0.072851-0.56430.712675
46-0.150425-1.16520.875723
47-0.030153-0.23360.591941
48-0.038-0.29430.615246
490.0658440.510.305951
500.0515860.39960.345442
510.0887210.68720.247294
520.0136080.10540.458202
53-0.081146-0.62860.733987
540.1190970.92250.179975
550.0625590.48460.31487
56-0.083583-0.64740.740088
570.0126430.09790.461157
58-0.043609-0.33780.63165
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')